Speech Emotion Analysis

A neural network model for determining human speech emotions from audio recordings.

Project structure

Datasets

id	name
1	The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS)
2	SAVEE
3	CREMA-D (Crowd-sourced Emotional Mutimodal Actors Dataset)

Emotions

We are using names for emotions:

• happy
• surprise
• sad
• angry
• disgust
• fear
• neutral

How to start

Prerequisites

• A 64-bit Windows, Linux, or Mac OS machine (certain libraries such as pyarrow don't work on 32-bit machines)
• The Conda package and environment manager https://conda.io/projects/conda/en/latest/user-guide/install/index.html

Prepare environment

1. Install Conda through Miniconda/Anaconda
2. Clone the repo
3. Create Conda environment using conda env create -f env.yaml
4. Activate the enviroment with source activate sea
5. Install Tensorflow for CPU using conda install tensorflow=1.12.0 (or tensorflow-gpu for GPU support)
6. Install keras using conda install keras=2.2.4

Prepare data

RAVDESS dataset

1. Download Audio_Speech_Actors_01-24.zip and Audio_Song_Actors_01-24.zip from https://zenodo.org/record/1188976
2. Place these zip files in a folder called raw-data in the main directory

Related articles

• Speech Emotion Recognition with Convolutional Neural Network

Credits

• https://github.com/MITESHPUTHRANNEU/Speech-Emotion-Analyzer